AI Solution Architect

Swim Recruiting; Vancouver; On-site; CAD 138,000 - 158,000; Full time

Job summary

Swim Recruiting is partnering with a Vancouver-based enterprise to hire an AI Solution Architect for a 6-month contract. You will design secure, production-ready AI architectures across Azure AI Foundry, Bedrock, Copilot Studio, and UiPath, translating business problems into scalable AI patterns.

You will steer evaluations, establish governance around privacy and security, and present strategic recommendations to senior leadership. Onsite work is four days a week in downtown Vancouver.

Qualifications

• 7+ years in solution architecture or related roles (senior/lead capacity).
• 3+ years in a senior or lead capacity.
• Experience across enterprise AI platforms: Azure AI Foundry, Azure OpenAI, AWS Bedrock.
• Security, privacy, governance in AI solutions and vendor reviews.
• Enterprise-scale RPA governance, ideally UiPath; cloud/IAM/RBAC knowledge.

Responsibilities

• Translate business problems into AI-enabled architecture and reusable patterns.
• Lead evaluations, proofs-of-concept, and production deployments.
• Define governance, cost controls, and adoption reporting for responsible AI at scale.
• Present recommendations to senior/executive leadership and translate technical trade-offs into business terms.

Skills

Solution architecture

Platform engineering

Automation

Enterprise AI

Security and governance

Tools

Azure AI Foundry

Azure OpenAI

Amazon Bedrock

Bedrock Agents

Copilot Studio

UiPath

Job description

6-month contact AI Solution Architect contract role working with an enterprise AI and Automation team with onsite work in Vancouver.

• Solution Architect role with a global organization.
• Enterprise AI and Automation work.
• Primarily onsite available in Vancouver, 4 days a week in office.

What & Why:

Due to investment in AI our client is looking to add a Solution Architect to their growing team. This role puts you at the center of their push to scale AI across the enterprise, architecting secure, production-ready solutions across a wide platform stack including Azure AI Foundry, Amazon Bedrock, Copilot Studio, ChatGPT Enterprise, Claude, and UiPath. You'll translate business problems into AI-enabled architecture, define reusable patterns for copilots, agentic workflows, and RAG solutions, and lead evaluations and proof-of-concepts to help move use cases from experimentation into real production. You'll also be the technical voice in security, privacy, and vendor review processes, working closely with Legal, Privacy, and Procurement to close open risk items, while building governance frameworks, cost controls, and adoption reporting that let AI run responsibly at scale. Beyond the technical design work, you'll present recommendations directly to senior and executive leadership, translating complex technical trade-offs into clear business terms.

Who:

This client is one of the most recognizable Canadian brands, a true Vancouver success story who has expanded globally. They are well known for their corporate culture and has won major awards for their accomplishments. They have invested majorly in technology and have had an incredibly successful past few years, including a major strategic acquisition. They have an all-star leadership team who keeps you accountable and provides support while still affording you tremendous autonomy. They are located close to rapid transit in newly renovated offices in downtown Vancouver and have a primarily on site work environment, 4 days a week on site.

You:

You will bring the following education, skills and experience to the role:

• 7+ years in solution architecture, platform engineering, or automation roles, including 3+ years in a senior or lead capacity
• Deep hands-on experience designing enterprise AI solutions across platforms such as Azure AI Foundry, Azure OpenAI, Amazon Bedrock, AWS Bedrock Agents, Copilot Studio, and Microsoft 365 Copilot
• Experience architecting agentic AI and RAG solutions, including orchestration patterns, vector search, grounding strategies, evaluation frameworks, and workflow automation
• Strong understanding of enterprise AI security models, including data residency, tenant isolation, identity and access controls, and responsible AI guardrails
• Experience architecting and governing RPA at enterprise scale, ideally on UiPath, along with a strong grounding in cloud, identity, and data architecture (Azure, AWS, Entra ID, IAM/RBAC)

Compensation:

This role pays between $100-115 per hour.